Computational methods in statistics

This subclass comprises research and experimental development in computational methods in statistics.

Parent Category

H

Holmes-Cerfon, Miranda

Department of Mathematics, Faculty of Science

Faculty (G+PS eligible/member)

M

McDonald, Daniel

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation; Methods and models for epidemiological forecasting, Estimation and quantification of prediction risk, Evaluating the predictive abilities of complex dependent data, Application of statistical learning techniques to time series prediction problems, Investigations of cross-validation and the bootstrap for risk estimation

P

Pleiss, Geoffrey

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Machine Learning; neural networks; Gaussian processes; Bayesian optimization; reliable deep learning; machine learning, neural networks, Gaussian processes, Bayesian optimization, reliable deep learning

W

Welch, William

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Computer experiments; Design and analysis of experiments; Statistical machine learning; Environmental modellign; Computer experiments, Design and analysis of experiments, Statistical machine learning, Environmental modellign

Academic Units

French Name

Méthodes de calcul en statistique

French Description

Cette sous-classe comprend la recherche et le développement expérimental en méthodes de calcul en statistique.